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Data Science Full Course For Beginners | Python Data Science Tutorial | Data Science With Python
Next:Data Science Roadmap 2023 | Learn Data Science Skills in 6 Months
What is Data Science? | Free Data Science Course | Data Science for Beginners | codebasics
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Data Science Roadmap 2023 | Learn Data Science Skills in 6 Months
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Business Math & Statistics Using Excel For Data Analysts and Data Scientists
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SQL Tutorial For Beginners | MySQL Tutorial
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1. Install python on windows [Python 3 Programming Tutorials]
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2. Variables in python [Python 3 Programming Tutorials]
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3. Numbers [Python 3 Programming Tutorials]
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4. Strings [Python 3 Programming Tutorials]
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5. Lists [Python 3 Programming Tutorials]
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6. Install PyCharm on Windows [Python 3 Programming Tutorials]
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7. Debug Python code using PyCharm [Python 3 Programming Tutorials]
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8. If Statement [Python 3 Programming Tutorials]
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9. For loop [Python 3 Programming Tutorials]
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10. Functions [Python 3 Programming Tutorials]
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11. Dictionaries and Tuples [Python 3 Programming Tutorials]
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12.1 - Install Python Module (using pip) [Python 3 Programming Tutorials]
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12. Modules [Python 3 Programming Tutorials]
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13. Working With JSON [Python 3 Programming Tutorials]
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14. if __name__ == "__main__" [Python 3 Programming Tutorials]
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15. Exception Handling [Python 3 Programming Tutorials]
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16. Class and Objects [Python 3 Programming Tutorials]
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What is Jupyter Notebook? | Jupyter Notebook Tutorial in Python
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What is Anaconda? Install Anaconda On Windows.
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Jupyter Notebook Tutorial / Ipython Notebook Tutorial
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numpy tutorial - basic array operations
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Python Pandas Tutorial 1. What is Pandas python? Introduction and Installation
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Python Pandas Tutorial 2: Dataframe Basics
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Python Pandas Tutorial 3: Different Ways Of Creating DataFrame
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Python Pandas Tutorial 4: Read Write Excel CSV File
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Python Pandas Tutorial 5: Handle Missing Data: fillna, dropna, interpolate
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Python Pandas Tutorial 6. Handle Missing Data: replace function
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Python Pandas Tutorial 7. Group By (Split Apply Combine)
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Python Pandas Tutorial 8. Concat Dataframes
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Matplotlib Tutorial 1 - Introduction and Installation
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Matplotlib Tutorial 2 - format strings in plot function
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Matplotlib Tutorial 3 - Axes labels, Legend, Grid
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Matplotlib Tutorial 4 - Bar Chart
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Matplotlib Tutorial 5 - Histograms
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Matplotlib Tutorial 6 - Pie Chart
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Machine Learning Tutorial Python -1: What is Machine Learning?
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Machine Learning Tutorial Python - 2: Linear Regression Single Variable
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Machine Learning Tutorial Python - 3: Linear Regression Multiple Variables
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Machine Learning Tutorial Python - 4: Gradient Descent and Cost Function
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Machine Learning Tutorial Python - 5: Save Model Using Joblib And Pickle
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Machine Learning Tutorial Python - 6: Dummy Variables & One Hot Encoding
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Machine Learning Tutorial Python - 7: Training and Testing Data
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Machine Learning Tutorial Python - 8: Logistic Regression (Binary Classification)
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Machine Learning Tutorial Python - 8 Logistic Regression (Multiclass Classification)
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Machine Learning Tutorial Python - 9 Decision Tree
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Machine Learning Tutorial Python - 10 Support Vector Machine (SVM)
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Machine Learning Tutorial Python - 11 Random Forest
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Machine Learning Tutorial Python 12 - K Fold Cross Validation
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Machine Learning Tutorial Python - 13: K Means Clustering Algorithm
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Machine Learning Tutorial Python - 14: Naive Bayes Classifier Algorithm Part 1
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Machine Learning Tutorial Python - 15: Naive Bayes Classifier Algorithm Part 2
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Machine Learning Tutorial Python - 16: Hyper parameter Tuning (GridSearchCV)
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Machine Learning Tutorial Python - 17: L1 and L2 Regularization | Lasso, Ridge Regression
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Machine Learning & Data Science Project - 1 : Introduction (Real Estate Price Prediction Project)
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Machine Learning & Data Science Project - 2 : Data Cleaning (Real Estate Price Prediction Project)
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Machine Learning & Data Science Project - 3 : Feature Engineering (Real Estate Price Prediction)
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Machine Learning & Data Science Project - 4 : Outlier Removal (Real Estate Price Prediction Project)
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Machine Learning & Data Science Project - 5 : Model Building (Real Estate Price Prediction Project)
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Machine Learning & Data Science Project - 6 : Python Flask Server (Real Estate Price Prediction)
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Machine Learning & Data Science Project - 7 : Website or UI (Real Estate Price Prediction Project)
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Deploy machine learning model to production AWS (Amazon EC2 instance)
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Data Analyst vs Data Engineer vs Data Scientist
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Data Science & Machine Learning Project - Part 1 Introduction | Image Classification
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Data Science & Machine Learning Project - Part 2 Data Collection | Image Classification
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Data Science & Machine Learning Project - Part 3 Data Cleaning | Image Classification
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Data Science & Machine Learning Project - Part 4 Feature Engineering | Image Classification
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Data Science & Machine Learning Project - Part 5 Training a Model | Image Classification
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Data Science & Machine Learning Project - Part 6 Flask Server | Image Classification
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Data Science & Machine Learning Project - Part 7 Build Website | Image Classification
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Data Science & Machine Learning Project - Part 8 Deployment & Exercise | Image Classification
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Introduction | Deep Learning Tutorial 1 (Tensorflow Tutorial, Keras & Python)
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Why deep learning is becoming so popular? | Deep Learning Tutorial 2 (Tensorflow2.0, Keras & Python)
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What is a neuron? | Deep Learning Tutorial 3 (Tensorflow Tutorial, Keras & Python)
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Neural Network Simply Explained | Deep Learning Tutorial 4 (Tensorflow2.0, Keras & Python)
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Install tensorflow 2.0 | Deep Learning Tutorial 5 (Tensorflow Tutorial, Keras & Python)
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Pytorch vs Tensorflow vs Keras | Deep Learning Tutorial 6 (Tensorflow Tutorial, Keras & Python)
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Neural Network For Handwritten Digits Classification | Deep Learning Tutorial 7 (Tensorflow2.0)
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Activation Functions | Deep Learning Tutorial 8 (Tensorflow Tutorial, Keras & Python)
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Derivatives | Deep Learning Tutorial 9 (Tensorflow Tutorial, Keras & Python)
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Matrix Basics | Deep Learning Tutorial 10 (Tensorflow Tutorial, Keras & Python)
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Loss or Cost Function | Deep Learning Tutorial 11 (Tensorflow Tutorial, Keras & Python)
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Gradient Descent For Neural Network | Deep Learning Tutorial 12 (Tensorflow2.0, Keras & Python)
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Implement Neural Network In Python | Deep Learning Tutorial 13 (Tensorflow2.0, Keras & Python)
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Stochastic Gradient Descent vs Batch Gradient Descent vs Mini Batch Gradient Descent |DL Tutorial 14
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Chain Rule | Deep Learning Tutorial 15 (Tensorflow2.0, Keras & Python)
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Tensorboard Introduction | Deep Learning Tutorial 16 (Tensorflow2.0, Keras & Python)
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GPU bench-marking with image classification | Deep Learning Tutorial 17 (Tensorflow2.0, Python)
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Customer churn prediction using ANN | Deep Learning Tutorial 18 (Tensorflow2.0, Keras & Python)
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Precision, Recall, F1 score, True Positive|Deep Learning Tutorial 19 (Tensorflow2.0, Keras & Python)
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Handling imbalanced dataset in machine learning | Deep Learning Tutorial 21 (Tensorflow2.0 & Python)
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Applications of computer vision | Deep Learning Tutorial 22 (Tensorflow2.0, Keras & Python)
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Simple explanation of convolutional neural network | Deep Learning Tutorial 23 (Tensorflow & Python)
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Image classification using CNN (CIFAR10 dataset) | Deep Learning Tutorial 24 (Tensorflow & Python)
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Convolution padding and stride | Deep Learning Tutorial 25 (Tensorflow2.0, Keras & Python)
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Data augmentation to address overfitting | Deep Learning Tutorial 26 (Tensorflow, Keras & Python)
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Transfer Learning | Deep Learning Tutorial 27 (Tensorflow, Keras & Python)
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Image classification vs Object detection vs Image Segmentation | Deep Learning Tutorial 28
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Popular datasets for computer vision: ImageNet, Coco and Google Open images | Deep Learning 29
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Sliding Window Object Detection | Deep Learning Tutorial 30 (Tensorflow, Keras & Python)
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What is YOLO algorithm? | Deep Learning Tutorial 31 (Tensorflow, Keras & Python)
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Object detection using YOLO v4 and pre trained model | Deep Learning Tutorial 32 (Tensorflow)
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What is Recurrent Neural Network (RNN)? Deep Learning Tutorial 33 (Tensorflow, Keras & Python)
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Types of RNN | Recurrent Neural Network Types | Deep Learning Tutorial 34 (Tensorflow & Python)
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Vanishing and exploding gradients | Deep Learning Tutorial 35 (Tensorflow, Keras & Python)
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Simple Explanation of LSTM | Deep Learning Tutorial 36 (Tensorflow, Keras & Python)
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Simple Explanation of GRU (Gated Recurrent Units) | Deep Learning Tutorial 37 (Tensorflow & Python)
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Bidirectional RNN | Deep Learning Tutorial 38 (Tensorflow, Keras & Python)
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Converting words to numbers, Word Embeddings | Deep Learning Tutorial 39 (Tensorflow & Python)
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Word embedding using keras embedding layer | Deep Learning Tutorial 40 (Tensorflow, Keras & Python)
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What is Word2Vec? A Simple Explanation | Deep Learning Tutorial 41 (Tensorflow, Keras & Python)
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Word2Vec Part 2 | Implement word2vec in gensim | | Deep Learning Tutorial 42 with Python
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Distributed Training On NVIDIA DGX Station A100 | Deep Learning Tutorial 43 (Tensorflow & Python)
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Tensorflow Input Pipeline | tf Dataset | Deep Learning Tutorial 44 (Tensorflow, Keras & Python)
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Optimize Tensorflow Pipeline Performance: prefetch & cache | Deep Learning Tutorial 45 (Tensorflow)
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What is BERT? | Deep Learning Tutorial 46 (Tensorflow, Keras & Python)
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Text Classification Using BERT & Tensorflow | Deep Learning Tutorial 47 (Tensorflow, Keras & Python)
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tf serving tutorial | tensorflow serving tutorial | Deep Learning Tutorial 48 (Tensorflow, Python)
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Quantization in deep learning | Deep Learning Tutorial 49 (Tensorflow, Keras & Python)
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Verified
Chapters
Featured playlist
Transcript
Follow along using the transcript.
codebasics
872K subscribers
What is Data Science? | Free Data Science Course | Data Science for Beginners | codebasics
codebasics
Verified
Chapters
Featured playlist
Transcript
Follow along using the transcript.
codebasics
872K subscribers
